Collaborative Robotics Engineer

This role focuses on developing and implementing collaborative robotics solutions to assist in the manual disassembly of WEEE, enhancing efficiency and reducing physical strain on human workers.

Robotics Engineering

Proficiency in designing and programming robots for various disassembly tasks.

Modern Robotics: Mechanics, Planning, and Control Specialization

Target Group
Mid Level Employee

Level
Foundations

Collaborative Robotics Engineer Modern Robotics: Mechanics, Planning, and Control Specialization

This Specialization provides a rigorous treatment of spatial motion and the dynamics of rigid bodies, employing representations from modern screw theory and the product of exponentials formula. Learners with a freshman-level engineering background will quickly learn to apply these tools to analysis, planning, and control of robot motion. Learners understanding of the mathematics of robotics will be solidified by writing robotics software. Students will test their software on a free state-of-the-art cross-platform robot simulator, allowing each learner to have an authentic robot programming experience with industrial robot manipulators and mobile robots without purchasing expensive robot hardware. It is highly recommended that Courses 1-6 of the Specialization are taken in order, since the material builds on itself.

Provider
www.coursera.org

Target

Engineering students (especially those with a freshman-level background)
Those new to robotics and automation
Programmers and software developers interested in robotics applications
Robotics enthusiasts and hobbyists looking to deepen their knowledge
Professionals in industries related to automation and robotics

Sector

Robotics and automation
Mechanical engineering
Software development
Educational institutions focusing on STEM
Research and development in robot technology

Area

Robot dynamics and control
Robotics software programming
Simulation and modeling of robotic systems
Motion planning and control systems
Application of modern screw theory and robotics mathematics

Method
Online

Certification
Yes

Duration
4 months at 10 hours a week

Assessment
No

Cost
Free

Learning Outcomes

Learn in-demand skills from university and industry experts
Master a subject or tool with hands-on projects
Develop a deep understanding of key concepts
Earn a career certificate from Northwestern University

Learning Content

Foundations of Robot Motion
- Learn fundamental material regarding robot configurations
- Understand configuration space (C-space), degrees of freedom, and holonomic constraints
- Represent spatial velocities and forces as twists and wrenches
Robot Kinematics
- Solve forward kinematics using the product-of-exponentials formula
- Study velocity kinematics, statics, and inverse kinematics
- Analyze robots with closed chains
Robot Dynamics
- Learn numerical algorithms for forward and inverse dynamics
- Plan robot trajectories subject to dynamic constraints
Robot Motion Planning and Control
- Plan motions in the presence of obstacles
- Use feedback control to track planned motions
- Explore grid-based and randomized motion planning techniques
Robot Manipulation and Wheeled Mobile Robots
- Model kinematics and forces for robot grasping tasks
- Plan and control omnidirectional and nonholonomic wheeled robots
Capstone Project: Mobile Manipulation
- Control a mobile manipulator to perform a pick-and-place task
- Integrate trajectory planning, odometry, and feedback control
- Test software on the KUKA youBot simulator